Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176D2AB31A1107E3B4193D1CA7261672EA2F7434FE6861516A2FDC3ED07E7D14DE2B21A |
|
CONTENT
ssdeep
|
768:be8p8T1T84Y5s53Mr1Uk7sOy2+y9BH4cLIe:xo8453jk7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d207b43cad34c5a7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccccc0c88c8c00 |
|
VISUAL
wHash
|
067c64304064ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccccc8e0c88c8c |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 8 techniques to evade detection by security scanners and make reverse engineering more difficult.